To start, we researched masked face datasets and 80+ of open-source solutions related to face mask detection. The key focus should be on masked face recognition because the healthcare team at the center is required to wear masks. The client emphasized that they needed a real-time smart attendance system using face recognition techniques. Solution: face recognition time attendance management system against the COVID-19 To get a consultation on facial recognition time clock software, they contacted InData Labs, an AI and facial recognition service provider. They needed a solution that would allow masked face recognition. Changing the way healthcare workers clock in and out could decrease the spread of the virus. In this case, biometric touchless authentication could become a solution. Cleaning and disinfecting touched surfaces lowered the chance of the virus spreading but didn’t solve the problem. To combat the virus, they have enhanced precautions and provided the front-line care team with personal protective equipment (PPE).
The COVID-19 pandemic has amplified deficiencies of the client’s health center. Challenge: prevent virus spread through touched surfaces To combat the virus, they decided to go for biometric face recognition time attendance software. Since the COVID-19 outbreak, the center has been bursting past capacity. Full-Cycle Web Application Development for a Retail Company.Generative AI – Everything You Need to Know.
Term Extraction for Simultaneous Interpreters.Marketing Campaign Performance Optimization.
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